/*
 * Encog(tm) Core v3.4 - Java Version
 * http://www.heatonresearch.com/encog/
 * https://github.com/encog/encog-java-core
 
 * Copyright 2008-2017 Heaton Research, Inc.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 *   
 * For more information on Heaton Research copyrights, licenses 
 * and trademarks visit:
 * http://www.heatonresearch.com/copyright
 */
package org.encog.app.analyst.missing;

import org.encog.app.analyst.EncogAnalyst;
import org.encog.app.analyst.script.normalize.AnalystField;

public class NegateMissing implements HandleMissingValues {

	@Override
	public double[] handleMissing(EncogAnalyst analyst, AnalystField stat) {
		double[] result = new double[stat.getColumnsNeeded()];
		double n = stat.getNormalizedHigh() - (stat.getNormalizedHigh()-stat.getNormalizedLow()/2);
		for(int i=0;i<result.length;i++) {
			result[i] = n;
		}
		return result;
	}
	
}
